Life Cycle Trade‐Offs in Matrix Population Models

Matrix projections allow identification of those phases in the life cycle with a high potential impact on the population growth rate. This impact is assessed by the sensitivity or elasticity of the matrix elements that are computed from life cycle data such as age—dependent survival or fecundity. Co...

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Bibliographic Details
Published in:Ecology (Durham) 1995-12, Vol.76 (8), p.2482-2489
Main Author: van Tienderen, Peter H.
Format: Article
Language:English
Subjects:
Analysis
Animal and plant ecology
Animal populations
Animal, plant and microbial ecology
Biological and medical sciences
Causal covariation
Demecology
demography
Ecological genetics
Ecological life histories
Ecology
Environmental aspects
Fecundity
Fundamental and applied biological sciences. Psychology
General aspects
Genetic variation
Killer whale
killer whales
Life cycles (Biology)
life history
Marine
Matrices
matrix projections
Orcinus orca
Plantago lanceolata
Population
Population ecology
Population genetics
Population growth rate
Quantitative genetics
selection differential
selection response
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Summary:Matrix projections allow identification of those phases in the life cycle with a high potential impact on the population growth rate. This impact is assessed by the sensitivity or elasticity of the matrix elements that are computed from life cycle data such as age—dependent survival or fecundity. Covariation among life cycle components, e.g., due to trade—offs, is a main subject of life history theory. Sensitivities or elasticities of matrix elements do not take this covariation into account. Integrated sensitivities and elasticities measure the net effect of a matrix element, combining its direct effect and indirect effects through correlation with other matrix elements. These measures are related to the selection differentials and expected selection responses from quantitative genetics. The use of these measures is illustrated with data on disease resistance in a perennial weed Plantago lanceolata, and the demography of killer whale pods.
ISSN:0012-9658
1939-9170
DOI:10.2307/2265822